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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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AWS Vs Azure Load Balancers Top Insights

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In AWS, you have three types of load-balancers. In the case of Azure, you have only two load balancers. This post tells you the comparison between these two.


1. AWS Load Balancers:

  • Application Load balancer
  • Network Load balancer
  • Classic Load balancers.


a. Application Load Balancer


Balancing of HTTP and HTTPS traffic and provides advanced request routing targeted at the delivery of modern application architectures, including micro-services and containers. 


Operating at the individual request level (Layer 7), Application Load Balancer routes traffic to targets within Amazon Virtual Private Cloud (Amazon VPC) based on the content of the request.


b. Network Load Balancer


Network Load Balancer is best suited for load balancing of Transmission Control Protocol (TCP), User Datagram Protocol (UDP), and Transport Layer Security (TLS) traffic where extreme performance is required.


c. Classic Load Balancer


The Classic Load Balancer provides the basic load-balancing across multiple Amazon EC2 instances. 


It operates at both the request level and connection level. Classic Load Balancer the real use is for applications that build within the EC2-Classic network.


AWS vs Azure load balancers explained in this post for your quick reference.

2. Azure Load Balancers:


In the case of Azure load balancers, it has two types. And is needs many steps to make it workable:


  • Create an Azure load balancer
  • Create a load balancer health probe
  • Create load balancer traffic rules
  • Use the Custom Script Extension to create an IIS-site
  • Create virtual machines and attach them to a load balancer
  • View a load balancer in action
  • Add and remove VMs from a load-balancer


The Azure has two types of load balancers. Those are:

  • Public Load-Balancer.
  • Private( Internal) Load-balancer.


i. Public Load Balancer


A public load-balancer can provide outbound connections for virtual machines (VMs) inside your virtual network by translating their private IP-addresses to public IP-addresses. 


Public Load-Balancer's purpose is to load balance internet traffic to your VMs.


ii. Private Load Balancer


In the case of an internal (or private) load balancer, you need private IPs for the frontend only. 


The purpose of this is to load-balance the traffic inside a virtual network. It is true that accessing of frontend from an on-premises network is a hybrid scenario.


iii. Azure Load Balancer Features


  1. Load balancing of internal and external traffic.
  2. Connectivity of Azure virtual Machines.
  3. Security.


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